The size of nuclei in histological preparations from excised breast tumors is predictive of patient outcome (large nuclei indicate poor outcome).

Jun 20, 2016 · Towards this goal, we train a deep convolutional neural network model that is applied locally at each nucleus location, and can reliably measure ...

The size of nuclei in histological preparations from excised breast tumors is predictive of patient outcome (large nuclei indicate poor outcome).

The size of nuclei in histological preparations from excised breast tumors is predictive of patient outcome (large nuclei indicate poor outcome).

The size of nuclei in histological preparations from excised breast tumors is predictive of patient outcome (large nuclei indicate poor outcome).

The size of nuclei in histological preparations from excised breast tumors is predictive of patient outcome (large nuclei indicate poor outcome).

Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation. https://doi.org/10.1007/978-3-319-46723-8_73 · Full text.

Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation. M. Veta, P.J. van Diest, J.P.W. Pluim · Medical Image Analysis.

Towards this goal, we train a deep convolutional neural network model that is applied locally at each nucleus location, and can reliably measure the area of the ...

No information is available for this page. · Learn why